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人类海马体和杏仁核中的可预测和不可预测的偏差检测。

Predictable and unpredictable deviance detection in the human hippocampus and amygdala.

机构信息

Helen Wills Neuroscience Institute, University of California, 450 Li Ka Shing Biomedical Center, Berkeley, CA 94720-3370, United States.

Institute of Computer Science, University of Bern, Bern, Neubrückstrasse 3012, Switzerland.

出版信息

Cereb Cortex. 2024 Jan 31;34(2). doi: 10.1093/cercor/bhad532.

Abstract

Our brains extract structure from the environment and form predictions given past experience. Predictive circuits have been identified in wide-spread cortical regions. However, the contribution of medial temporal structures in predictions remains under-explored. The hippocampus underlies sequence detection and is sensitive to novel stimuli, sufficient to gain access to memory, while the amygdala to novelty. Yet, their electrophysiological profiles in detecting predictable and unpredictable deviant auditory events remain unknown. Here, we hypothesized that the hippocampus would be sensitive to predictability, while the amygdala to unexpected deviance. We presented epileptic patients undergoing presurgical monitoring with standard and deviant sounds, in predictable or unpredictable contexts. Onsets of auditory responses and unpredictable deviance effects were detected earlier in the temporal cortex compared with the amygdala and hippocampus. Deviance effects in 1-20 Hz local field potentials were detected in the lateral temporal cortex, irrespective of predictability. The amygdala showed stronger deviance in the unpredictable context. Low-frequency deviance responses in the hippocampus (1-8 Hz) were observed in the predictable but not in the unpredictable context. Our results reveal a distributed network underlying the generation of auditory predictions and suggest that the neural basis of sensory predictions and prediction error signals needs to be extended.

摘要

我们的大脑从环境中提取结构,并根据过去的经验形成预测。预测电路已在广泛的皮质区域中被识别出来。然而,内侧颞叶结构在预测中的贡献仍未得到充分探索。海马体是序列检测的基础,对新刺激敏感,足以获取记忆,而杏仁核则对新奇事物敏感。然而,它们在检测可预测和不可预测的听觉偏差事件中的电生理特征仍不清楚。在这里,我们假设海马体会对可预测性敏感,而杏仁核对意外偏差敏感。我们向接受术前监测的癫痫患者呈现标准和偏差声音,在可预测或不可预测的环境中。与杏仁核和海马体相比,听觉反应和不可预测的偏差效应在颞叶皮层更早出现。在外侧颞叶皮层中检测到 1-20 Hz 的局部场电位偏差效应,与可预测性无关。在不可预测的情况下,杏仁核表现出更强的偏差。在可预测的情况下,但在不可预测的情况下,海马体(1-8 Hz)观察到低频偏差反应。我们的结果揭示了一个分布式网络,该网络是听觉预测产生的基础,并表明需要扩展感觉预测和预测误差信号的神经基础。

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